Sr. AI Automation Engineer

Equifax

Hybrid

Quick summary

Work type
Hybrid
Location
St. Louis, MO · Alpharetta, GA
Posted
1 day ago

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How this pay compares to similar roles

Similar $204k
$152k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $162,000–$246,150.

Based on 240 similar postings.

Employer

About Equifax

Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.

Equifax currently has 30 open roles on FindRole.

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At a glance

TL;DR · Sr. AI Automation Engineer

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Equifax is hiring a senior AI Engineer to join its innovative team of developers, focusing on integrating advanced AI technologies into scalable applications. This role involves developing and maintaining backend logic for AI-driven features using Java and Python, while also working with agentic frameworks like ADK and LangChain to enhance legacy codebases. The engineer will collaborate across multi-disciplinary teams to capture requirements, implement RESTful APIs, and ensure system validation and performance optimization. Key responsibilities include writing, debugging, and troubleshooting code in mainstream AI technologies, as well as documenting processes for seamless integration with existing internal systems. Ideal candidates have 5+ years of experience in Java, Python, SQL, and cloud platforms like Google Cloud Platform, along with expertise in software build management tools such as Maven or Gradle, and backend technologies including SpringBoot and Microservices. Additional skills in Jenkins pipeline and C++ programming are a plus.

Skills

Java Python Agentic Frameworks RESTful APIs postgreSQL SpringBoot Maven Gradle Microservices Jenkins C++ Google Cloud Platform GitHub Copilot Gemini CLI

What you'll do

  • Develop and operate scalable AI applications focusing on security and operational excellence.
  • Apply agentic coding practices to develop new features and refactor legacy code using LLMs.
  • Write, debug, and maintain code in mainstream open-source AI technologies for a Data Analytics platform.
  • Capture and refine requirements across multi-disciplinary teams for system integration.
  • Diagnose and resolve performance issues while documenting processes for other developers.

What we're looking for

  • 5+ years of hands-on experience in Java and Python development.
  • Proficient in working with agentic frameworks like ADK, LangChain, and LangGraph.
  • Extensive experience (5+) building and consuming RESTful APIs.
  • Deep understanding of LLMs and context engineering for AI applications.
  • Solid background in SQL and PostgreSQL database management.
  • Expertise in software build tools such as Maven or Gradle and backend technologies like SpringBoot and Microservices.
  • Strong track record in cloud technology, specifically Google Cloud Platform.

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